Poverty Decomposition by Regression: An Application to Tanzania

UNU-WIDER Working Paper 2015/102

34 Pages Posted: 30 Aug 2017

See all articles by Tomoki Fujii

Tomoki Fujii

Singapore Management University - School of Economics

Multiple version iconThere are 2 versions of this paper

Date Written: October 1, 2015

Abstract

We develop a poverty decomposition method that is based on a consumption regression model. Because this method uses an integral of the partial derivatives of a poverty measure with respect to time, the resulting poverty decomposition satisfies time-reversion consistency and sub-period additivity. Unlike the existing poverty decomposition methods, it allows us to ascribe the observed change in poverty to various covariates of interest collected at a disaggregate level. This method is applied to two datasets from Tanzania to assess, among others, the short- and long-term impacts of infrastructure and market access on poverty.

Keywords: FGT measure, Watts measure, market access, infrastructure

JEL Classification: I32, O10

Suggested Citation

Fujii, Tomoki, Poverty Decomposition by Regression: An Application to Tanzania (October 1, 2015). UNU-WIDER Working Paper 2015/102. Available at SSRN: https://ssrn.com/abstract=3028457 or http://dx.doi.org/10.2139/ssrn.3028457

Tomoki Fujii (Contact Author)

Singapore Management University - School of Economics ( email )

90 Stamford Road
178903
Singapore
+6568280279 (Phone)
+6568280833 (Fax)

HOME PAGE: http://www.mysmu.edu/faculty/tfujii/

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